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MARC状态:审校 文献类型:西文图书 浏览次数:104

题名/责任者:
Statistics using R : an integrative approach / Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz.
版本说明:
Second edition.
出版发行项:
Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2024.
ISBN:
9781009400121
ISBN:
1009400126
载体形态项:
xix, 704 pages : illustrations ; 26 cm
个人责任者:
Weinberg, Sharon L., author.
附加个人名称:
Harel, Daphna, 1988- author.
附加个人名称:
Abramowitz, Sarah Knapp, 1967- author.
论题主题:
R (Computer program language)
论题主题:
Mathematical statistics-Data processing.
论题主题:
Statistics-Data processing.
中图法分类号:
O212-37
书目附注:
Includes bibliographical references and index.
内容附注:
Examining univariate distributions -- Measures of location, spread, and skewness -- Re-expressing variables -- Exploring relationships between two variables -- Simple linear regression -- Probability fundamentals -- Theoretical probability models -- The role of sampling in inferential statistics -- Inferences involving the mean of a single population when [Sigma] is known -- Inferences involving the mean when [Sigma] is not known : one-and two sample designs -- Research design : introduction and overview -- One-way analysis of variance -- Two-way analysis of variance -- Correlation and simple regression as inferential techniques -- An introduction to multiple regression -- Two-way interactions in multiple regression -- Nonparametric methods.
摘要附注:
"This first edition of Statistics Using R: An Integrative Approach capitalizes on the versatility and power of the R software package to create a course of study that links good statistical and data science practice to the analysis of real data. It also benefits from the many years of the authors' experience teaching statistics to undergraduate students at a liberal arts university and to undergraduate and graduate students at a large research university from a variety of disciplines including education, psychology, health, and policy analysis. Because R, a free, open-source software, provides a command line approach to the analysis of data, and, in so doing, this textbook teaches readers the skills necessary to program statistical analyses"--
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